コンテンツへスキップ
Languages
  • Italiano
  • Español
  • Deutsch
  • Français
  • Português
  • 日本語
  • English
  • 한국어
無料トライアル
  • SNOWFLAKE DATA HEROES COMMUNITY OUTAGE
  • Italiano
  • Español
  • Deutsch
  • Français
  • Português
  • 日本語
  • English
  • 한국어

 

SNOWFLAKE DISCOVER

AI EDITION

Discover the possibilities.
Explore your potential with the AI Data Cloud.

Live – Virtual
APAC | 30 June – 9 July

Register Now

WHAT TO EXPECT

Snowflake Discover is a free, live, online program designed to inform, share, and explore the possibilities of the AI Data Cloud. The content highlights both local and global best practices across data, applications, and AI. Tailored for data professionals at varying levels of familiarity with the AI Data Cloud, the event features Level 100 – 300 topics delivered through hands-on labs and practical sessions by leading technical experts from across Asia Pacific.

This edition of Snowflake Discover AI brings together highlights from Snowflake Summit, showcasing new innovations that make enterprise data and AI more connected, trusted, and easy to use. You’ll explore how to work with structured and unstructured data, optimize machine learning workflows, and leverage innovations like Snowflake Cortex, Snowpark ML, and Document AI.

WHAT YOU WILL EXPLORE & LEARN

WEEK 1: VIRTUAL HANDS ON LABS & Discover ai
1:00 PM AEST | 3:00 PM NZST I 11:00 AM SGT I 8:30 AM IST
  • Build and Deploy Data Agents with Snowflake Cortex AI
  • Gen AI on Snowflake Bootcamp
  • Gen AI Strategy to Execution: Build Gen AI-Powered Insights with Snowflake and AWS
  • Snowflake Summit Highlights – Data and AI Innovations
  • Introduction to Generative AI, Snowflake Intelligence and No-Code Agentic AI
  • Build an AI App with Snowflake
  • Building Cortex Agents on Snowflake: Why it Matters and Best Practices
  • Breaking Data Silos: Accelerating Time-to-Value with Gen AI with Snowflake and AWS
  • Document Intelligence – Extracting value from unstructured data using Snowflake Document AI
  • Improve Your Snowflake Data Quality and Readiness for Analytics and AI
  • Snowflake for Generative AI and Data Governance
  • Data Driven Futures: How Executives can generate ROI from Generative AI
WEEK 2: VIRTUAL HANDS ON LABS & Discover ML
1:00 PM AEST | 3:00 PM NZST I 11:00 AM SGT I 8:30 AM IST
  • How to Build Python Data Engineering Pipelines with Snowpark
  • Building Data Applications Using Snowflake Marketplace, Snowpark with Python, and Streamlit
  • Build, Test and Deploy Products with Developer Tooling
  • What’s New: Running Advanced Analytics with AI SQL, Geospatial and More
  • Streamlining MLOps: Best Practices for Scaling End-to-End ML Workloads in Snowflake ML
  • Accelerate Your Open Lakehouse with Fewer Dependencies
  • Sentiment Analysis Using Snowflake Cortex AI on Iceberg Tables
  • Build a Chat with Your Documents App using RAG with Snowflake Cortex

WHO SHOULD ATTEND

Snowflake Discover is ideal for data professionals, IT Managers, Data Architects, Engineers, Scientists and Administrators. The event will share deployment best-practices and provide you with the opportunity to have your questions answered via live Q&A with the Snowflake technology team.

SAVE YOUR SEAT

CONTENT LEVEL GUIDE

Level 100 - Introductory

Sessions provide a step-by-step overview of the topic, designed for professionals that are new to the subject area

Level 200 - Intermediate

Sessions provide technical deployment best-practice including demos, designed for professional that have an introductory understanding of the subject area

Level 300 - Advanced

Technical step-step deep-dive designed for professionals familiar with the subject area, with or without direct implementation experience

AGENDA

WEEK 1

Monday 30 June

1:00 PM AEST | 11:00 AM SGT | 8:30 AM IST

VHOL: Build and Deploy Data Agents with Snowflake Cortex AI [Level 100]

セッション記述子

In this hands-on lab, you’ll build and deploy AI-powered data agents using Snowflake Cortex agents. Learn how to create agents that automate complex, multi-step operations by orchestrating structured and unstructured data retrieval with Cortex Analyst and Cortex Search. Explore best practices for integrating AI into enterprise workflows, managing governance, and improving decision-making with real-time insights.

By the end of the session, you’ll have a fully functional agent that can process requests, retrieve relevant data, and generate intelligent responses — all securely within Snowflake.

2:30 PM AEST | 12:30 PM SGT | 10:00 AM IST

VHOL: Gen AI on Snowflake Bootcamp [Level 200]

セッション記述子

To efficiently and securely combine data with LLMs, data and engineering teams can use serverless LLMs and search all available data inside Snowflake.

Join us in this hands-on lab to learn how seamless it can be to use integrated and easy to use AI infrastructure to quickly build and deploy scalable and secure apps. At the end of this lab, you will have experience in building chatbots and other types of AI applications using the latest features in Snowflake Cortex and Streamlit.

4:00 PM AEST | 2:00 PM SGT | 11:30 AM IST

VHOL: Gen AI Strategy to Execution: Build Gen AI-Powered Insights with Snowflake and AWS [Level 200]
セッション記述子

Get hands-on with integrating Snowflake, the AI Data Cloud and AWS. Learn how to connect and prep your data, leverage GenAI & GenBi with Snowflake and AWS to improve operational efficiency and derive better data insights.

By the end this lab session gains the skills and templates needed to kickstart your own Gen AI project, faster and with confidence.

Tuesday 1 July

1:00 PM AEST | 11:00 AM SGT | 8:30 AM IST

Snowflake Summit Highlights - Data and AI Innovations [Level 100]

セッション記述子

Faced with constant pressure to deliver real-time insights that empower businesses to make informed decisions and stay ahead of the competition? Struggling with the technical challenges of managing data silos, diverse formats, ingestion processes, transformation, and complex reporting tools—all while striving to deliver insights faster? Learn how we make it easy and seamless to handle any data, interact with it using natural language, and leverage Gen AI to build the reports your business needs in minutes.

1:45 PM AEST | 11:45 AM SGT | 9:15 AM IST

Introduction to Generative AI, Snowflake Intelligence and No-Code Agentic AI [Level 100]
セッション記述子

Discover Snowflake as your go-to platform for Generative AI. Learn how to build and deploy a no-code, agentic AI platform with Snowflake Intelligence. See how organizations are bringing together structured and unstructured data to make insights accessible across their entire enterprise via an AI-driven agentic interface, all within Snowflake.

2:30 PM AEST | 12:30 PM SGT | 10:00 AM IST

Build an AI App with Snowflake [Level 100]


セッション記述子

Join this session to build an app that delivers personalized, real-time movie recommendations from semi-structured data using Snowflake Cortex functions. You will set up a retrieval-augmented generation (RAG) system within Snowflake, then build and deploy the app, making it available for publication and monetization on the Snowflake Marketplace.

3:15 PM AEST | 1:15 PM SGT | 10:45 AM IST

Building Cortex Agents on Snowflake: Why it Matters and Best Practices [Level 100]
セッション記述子

Snowflake recently launched new capabilities to help organizations build data agents connected to enterprise data environment. This session explores why Snowflake makes it easy to iterate, monitor and observe agentic AI systems. Learn associated best practices related to RBAC integration in agentic workflows and applications. The session will also focus on change control and environment management and the software development lifecycle within the AI agents develoment lifecycle.

4:00 PM AEST | 2:00 PM SGT | 11:30 AM IST

Breaking Data Silos: Accelerating Time-to-Value with Gen AI with Snowflake and AWS [Level 100]
セッション記述子

Unlock the full potential of data by simplifying Gen AI adoption. In this session, discover how Snowflake and AWS enable seamless ingestion, transformation, and insight generation.

Learn how business and technical teams can break down silos, reduce complexity, and accelerate time-to-value by delivering secure, governed, and actionable Gen AI applications.

Walk away with a clear understanding of how to align data strategy with real-world business outcomes using Gen AI.

Wednesday 2 July

1:00 PM AEST | 11:00 AM SGT | 8:30 AM IST

Document Intelligence - Extracting value from unstructured data using Snowflake Document AI [Level 100]
セッション記述子

Join this session to learn how you can drive immense value from Snowflake Document AI right out of the box. Empower your business teams to augment and automate document search, retrieval and enable them to make decisions.

1:45 PM AEST | 11:45 AM SGT | 9:15 AM IST

Improve Your Snowflake Data Quality and Readiness for Analytics and AI [Level 100]
セッション記述子

Discover how your wider Enterprise Data Stack impacts your Snowflake data quality and readiness. Proactively address issues using data observability powered by agentic data management to enforce operational governance, while enabling collaboration between technical and business teams — all while managing costs and improving operating efficiencies to deliver trusted, AI-ready data with confidence.

2:30 PM AEST | 12:30 PM SGT | 10:00 AM IST

Snowflake for Generative AI and Data Governance [Level 100]
セッション記述子

Learn how to streamline governance and security for data and AI with Snowflake’s latest updates to Horizon Catalog. Join us for new product overviews and live demos covering Trust Center, sensitive data, data quality, lineage and more.

3:15 PM AEST | 1:15 PM SGT | 10:45 AM IST

Data Driven Futures: How Executives can generate ROI from Generative AI [Level 100]
セッション記述子

The age of AI demands a strong data foundation, and CDOs hold the key. This session reveals how data officers lead governance, drive analytics innovation and empower entire organizations. Join to learn how you can use AI for business value, fostering data fluency and ensuring responsible growth.

AGENDA

WEEK 2

Monday 7 July

1:00 PM AEST | 11:00 AM SGT | 8:30 AM IST

VHOL: How to Build Python Data Engineering Pipelines with Snowpark [Level 200-300]
セッション記述子

Join this hands-on session exploring Python Data Engineering as an alternative to using Spark with a legacy file-based data lake. During the lab, you’ll gain practical experience with key features and tools, and learn how they can benefit you as a data engineer.

2:30 PM AEST | 12:30 PM SGT | 10:00 AM IST

VHOL: Building Data Applications Using Snowflake Marketplace, Snowpark with Python, and Streamlit [Level 200-300]
セッション記述子

Join this session to learn how to build a data application leveraging Snowflake Marketplace, Snowpark, and Streamlit. You’ll learn how to build a data application that uses data published on Snowflake Marketplace, process data with Snowpark, develop a simple machine learning model, create a Python UDF in Snowflake, and visualize the data with Streamlit.

Tuesday 8 July

1:00 PM AEST | 11:00 AM SGT | 8:30 AM IST

Build, Test and Deploy Products with Developer Tooling [Level 200-300]
セッション記述子

Learn how to leverage build, test and deploy your work with Snowflake’s latest developer tooling.

1:45 PM AEST | 11:45 AM SGT | 9:15 AM IST

What's New: Running Advanced Analytics with AI SQL, Geospatial and More [Level 200-300]

セッション記述子

Learn how to efficiently run analytics over unstructured data, geospatial data and other advanced formats with Snowflake’s latest SQL functions.

2:30 PM AEST | 12:30 PM SGT | 10:00 AM IST

Streamlining MLOps: Best Practices for Scaling End-to-End ML Workloads in Snowflake ML [Level 200-300]
セッション記述子

Snowflake ML enables efficient development and deployment of advanced models without any data movement. With multi-GPU support, MLOps integration and Git-based workflows, Container Runtime provides a scalable environment for training, and Snowflake ML’s products such as Model Registry and Model Serving make it easy to deploy these models in production. This session explores best practices for scalable ML workflows and the creation of production-ready ML pipelines in Snowflake.

3:15 PM AEST | 1:15 PM SGT | 10:45 AM IST

Accelerate Your Open Lakehouse with Fewer Dependencies [Level 200-300]
セッション記述子

Learn how to efficiently build an open and interoperable foundation to scale your data, analytics and AI initiatives.

Wednesday 9 July

1:00 PM AEST | 11:00 AM SGT | 8:30 AM IST

VHOL: Sentiment Analysis Using Snowflake Cortex AI on Iceberg Tables [Level 100-200]
セッション記述子

Built on top of the Snowflake AI Data Cloud, Iceberg tables help enterprises efficiently manage large-scale data workloads. Learn how to bring AI to data lakehouses using Snowflake Cortex AI and Iceberg tables.

In this hands-on lab, you will explore how to leverage large language models on an open lakehouse architecture with Snowflake Cortex and Apache Iceberg tables. You’ll learn how to create a Snowflake-managed Iceberg table storing a product reviews dataset, run Snowflake Cortex AI LLM functions to predict sentiment, and improve query performance, resource allocation, and overall efficiency when working with large datasets.

2:30 PM AEST | 12:30 PM SGT | 10:00 AM IST

VHOL: Build a Chat with Your Documents App using RAG with Snowflake Cortex [Level 100-200]

セッション記述子

Join us to learn how to build a Retrieval Augmented Generation (RAG) based LLM assistant. Despite foundational LLMs’ requiring extensive training, their knowledge base is outdated and lacks information that is protected inside the enterprise. To address hallucinations that LLMs may have from unseen information, RAG is a cost-effective strategy that teams can use to build chatbots on top of an enterprise knowledge base.

SPEAKERS

Connect with me on LinkedIn

Alex has an extensive background with Oracle Applications E-Business Suite DBA spanning thirteen years. Over this time he has had broad exposure to the Finance, Mining and Government sectors. An experienced EBS System implementer with skills in architecture, systems analysis and hands on development Alex now uses this experience with Snowflake customers to solve the hardest challenges with data.

Alex Lei

Senior Sales Engineer

Snowflake

Alex Lei

Senior Sales Engineer

Snowflake

Connect with me on LinkedIn

Joel Harris

Solution Engineer

Snowflake

Joel Harris

Solution Engineer

Snowflake

Connect with me on LinkedIn

Rishu has 18+ years of Information Technology experience in the solution design and architecture, strategic design of future data platforms and roadmaps, predominantly focused on data and Information Management – particularly cloud native data platforms and technologies, big data, analytics, Machine Learning, Business Intelligence capabilities, Data Management and Artificial Intelligence.

Rishu Saxena

Principal Architect, Machine Learning, Field CTO Office

Snowflake

Rishu Saxena

Principal Architect, Machine Learning, Field CTO Office

Snowflake

Arpit Bhardwaj

Sales Engineer

Snowflake

Arpit Bhardwaj

Sales Engineer

Snowflake

Mahdi has over two decades of dedicated experience in the dynamic landscape of the data industry. He is a seasoned software engineer recognised for his invaluable contributions to companies like Cloudera, Databricks and Snowflake.

Having honed his expertise in developing cutting-edge data solutions, Mahdi has played a pivotal role in architecting and optimising data platforms that drive business success. Mahdi specialises in leveraging advanced technologies to unlock actionable insights, empowering organisations to make data-driven decisions with confidence.

As a thought leader in the data engineering community, Mahdi is passionate about sharing his knowledge and expertise through speaking engagements, mentorship programs, and industry publications. Mahdi remains at the forefront of technological advancements, continuously expanding his skill set to stay ahead of emerging trends and developments.

LinkedIn: https://www.linkedin.com/in/blahblogh/

 

Mahdi Askari

Principal Sales Engineer

Snowflake

Mahdi Askari

Principal Sales Engineer

Snowflake

Sheena is an Artificial Intelligence expert with vast international working experience. Her passion and expertise lies in identifying opportunities in businesses that can be powered by AI solutions that deliver real life business benefits.

She is specialised in building vision based AI systems with image and video data using cutting edge research in cross domain industries such as Manufacturing, Oil and gas, Logistics, Telecom, Retail and others, spanning across the USA, India and ASEAN markets.

She was the lead Computer vision data scientist of the PROJECT: CORAIL, a smart underwater camera prototype for coral restoration. Check out the feature in Forbes: https://www.forbes.com/sites/cognitiveworld/2020/04/22/intel–accenture-use-ai-to-save-the-coral-reef/#38543f315e60

In addition to her professional endeavours, she is a guest speaker at the National University Of Singapore Engineering. Her passion for thought leadership extends to authoring technical blogs and presenting at various conferences and industry events. She is deeply committed to the cause of women’s empowerment. As the Singapore ambassador for WiDS (Women in Data Science) she had the privilege to host a highly engaged and successful event during May 2023 for over a hundred women in collaboration with Dataiku, Snowflake and AWS.

LinkedIn: https://www.linkedin.com/in/sheena-nasim/

Sheena Nasim

Senior Architect, Machine Learning, Field CTO Office

Snowflake

Sheena Nasim

Senior Architect, Machine Learning, Field CTO Office

Snowflake

Connect with me on LinkedIn

Daryl Goh

Solution Engineer

Snowflake

Daryl Goh

Solution Engineer

Snowflake

Connect with me on LinkedIn

Tim Buchhorn

Senior Sales Engineer

Snowflake

Tim Buchhorn

Senior Sales Engineer

Snowflake

Connect with me on LinkedIn

Experienced Data Architect with expertise designing and building Big data platforms, Data pipelining for Advanced analytics/Data Science & BI uses cases, MLops, Dataops and Data Warehousing.

Prashant Yadav

Principal Architect, Data Engineering, Field CTO Office

Snowflake

Prashant Yadav

Principal Architect, Data Engineering, Field CTO Office

Snowflake

Abhishek Prakash

Senior Sales Engineer

Snowflake

Abhishek Prakash

Senior Sales Engineer

Snowflake

Jonathan Asvestis

Sr. Partner Sales Engineer, APJ

Snowflake

Jonathan Asvestis

Sr. Partner Sales Engineer, APJ

Snowflake

Travis Murphy

Senior Sales Engineer

Snowflake

Travis Murphy

Senior Sales Engineer

Snowflake

Connect with me on LinkedIn

Evangelist for Snowflake in India where I help all walks of the business understand and harness the power of the Data Cloud, drive GTM, analyst/influencer relations and build communities.

Worked as a data scientist, product owner, program manager, industry analyst and a trusted advisor in the past with more than a decade of experience working with Fortune 1000 companies, guiding them on their mission critical priorities around AI Strategy, Governance, Risk Management, end-to-end program delivery, standardisation and automation.

I’ve helped clients save over $100mn over the course of my career after working on a multitude of projects in RPA, data labeling and annotation, autonomous driving, insurance fraud, environmental monitoring, MLOps, Responsible AI, AI for Good and AI platform negotiations. I’ve provided strategic services to clients across supply chain, pharmaceuticals, healthcare, defense and intelligence, banking and financial services, transportation, law enforcement, e-commerce, legal and several government and quasi-government organizations.

Here’s a quick summary of my career:

– Worked with over 500 clients (investors, vendors and end-user clients) in a consulting, program management and advisory capacity
– Advised over 1000 CIO’s, CDO’s, CDAO’s on their most urgent priorities in AI, share insights and best practices from their peers reducing time to value by up to 10x
– Authored several Gartner Research papers (including Magic Quadrants, Critical Capabilities, Hype Cycle, Cool Vendors), created two Gartner research products – Use-Case Prism as a result of cross-functional collaboration of over 50 teams and Buyers’ Selection Spotlight.
– Product designer, event and keynote speaker, and a contributor to open-source

With the diverse experience I have, I’m on a mission to help organisations on their technology priorities.

Farhan Choudhary

Senior Product Marketing Manager and Evangelism

Snowflake

Farhan Choudhary

Senior Product Marketing Manager and Evangelism

Snowflake

Connect with me on LinkedIn

IT Professional with extensive experience in Implementation Consulting of Products and Data Platforms.

Keen to learn and adapt to newer Technologies and work domains, an Individual Contributor, and a Vivid Team Player when situation demands.

Syed Faisal

Sales Engineer

Snowflake

Syed Faisal

Sales Engineer

Snowflake

Anthony is an experienced Data Warehouse Architect and Lead Data Engineer with experience in large scale implementations and managing global development teams in the retail and financial industries.

Passionate about Big Data and large scale data warehousing and extensive experience including ETL development, data quality standards, design and development, BI and Marketing visualisation tool integration across a number of vendor solutions. Anthony is based in Melbourne and supports Snowflake customers to realise the potential of their data in business.

LinkedIn: https://www.linkedin.com/in/anthony-schneider-50249320/

Anthony Schneider

Senior Sales Engineer

Snowflake

Anthony Schneider

Senior Sales Engineer

Snowflake

Blending 17+ years of Enterprise Data Management experience with Business Focus to get customers to be ready in the new Data Driven world to maximize the value of their data and gain actionable insights to fuel their business outcomes. Hands-on technology leader and process-driven professional with global experience spanning multiple verticals including Healthcare, Telecom and BFSI with key focus on Data Integration, Data Governance and Data Exchange.

LinkedIn: https://www.linkedin.com/in/kvenkatr/

Karthik Venkatraman

Senior Sales Engineer

Snowflake - Australia

Karthik Venkatraman

Senior Sales Engineer

Snowflake - Australia

Connect with me on LinkedIn

Jonathan Golan

Senior Solution Engineer

Snowflake

Jonathan Golan

Senior Solution Engineer

Snowflake

Sean is a Senior Sales Engineer based in Australia with over 10 years of experience in the data industry, with deep technical experience in Data Engineering, Data Science and Data Architectures. As a trusted advisor, Sean has closely worked with a wide variety of start-ups and enterprise customers to ensure the success of their Snowflake AI Data Cloud journey, by drawing from his experience as well as evangelising cutting edge technology and innovations through constant self-learning and application.

LinkedIn: https://www.linkedin.com/in/seankim6/

Sean Kim

Senior Sales Engineer

Snowflake

Sean Kim

Senior Sales Engineer

Snowflake

With 15+ years at Oracle, Vinay held senior engineering and management roles in the Database kernel team. He was a co-inventor of RAC Cache Fusion and Active Data Guard Standby, with engineering responsibilities for the RDBMS High Availability roadmap including Exadata. He holds multiple software patents in standby systems, distributed recovery, OLTP performance and fault tolerance. At data unicorn Delphix, Vinay led the development of the database virtualization products for Oracle, SQL Server and DB2. In 2013, Vinay started Delphix’s Solution Architecture practice and made a career transition from building enterprise software to driving product adoption in the field. Growing a global team of 20 solution architects in 4 years, Vinay had the opportunity to work closely with Delphix’s enterprise customers (including Apple, Cisco, Walmart.com, Telecom Italia, Wells Fargo) to accelerate distribution and masking of their largest relational databases and migration to cloud-based microservices. After this, he joined Xcalar, where he owned field deployment for a scale-out relational compute platform available in all public clouds that competed with Spark Core and Redshift. Customer projects at Wells Fargo, Wellington Capital and PRGX provided experience in the challenges of delivering data to business applications within legacy Hadoop-based and early public cloud data lakes.

Vinay Srihari

Field CTO
Snowflake

Vinay Srihari

Field CTO
Snowflake

Connect with me on LinkedIn

Alyssa Fuentebella

Sales Engineer

Snowflake

Alyssa Fuentebella

Sales Engineer

Snowflake

Connect with me on LinkedIn

Yogi Rampuria

Senior Solution Engineer

Snowflake

Yogi Rampuria

Senior Solution Engineer

Snowflake

Connect with me on LinkedIn

Experienced data professional with strong technical skills from analysis, consultancy, architecture and data science. Sarita has a demonstrated history of driving engagement and projects in the Financial Services and eCommerce industries. A detail-oriented specialist with outgoing personality, motivated by the potential of technology to drive changes to people’s lives.

Day to day work involves stakeholder management, problem definition and framing, solution design, data transformation and preparation, and occasionally some machine learning. Interested in domain of Data Science, Data Engineering, Architecture and Solutions.

Sarita Priyadarshini

Senior Sales Engineer

Snowflake

Sarita Priyadarshini

Senior Sales Engineer

Snowflake

Prashant Wate is a Senior Sales Engineer in Snowflake Inc. He has more than 20 years of experience in IT solutions development, architecture, database design, big data solutioning and technology consulting. Worked in various business verticals like BFSI, Manufacturing, Energy & Utilities, Retail & CPG, Telecom

LinkedIn: https://www.linkedin.com/in/prashant-wate-4249a822/

Prashant Wate

Senior Sales Engineer

Snowflake

Prashant Wate

Senior Sales Engineer

Snowflake

Connect with me on LinkedIn

Rajesh Thakkar

Senior Solution Engineer

Snowflake

Rajesh Thakkar

Senior Solution Engineer

Snowflake

Connect with me on LinkedIn

Devesh Dhannawat

Solution Engineer

Snowflake

Devesh Dhannawat

Solution Engineer

Snowflake

Connect with me on LinkedIn

Mary Law

APJ Cloud Partner Tech Lead

Snowflake

Mary Law

APJ Cloud Partner Tech Lead

Snowflake

Amelia Mantle

Associate Solution Architect

Amazon Web Services

Amelia Mantle

Associate Solution Architect

Amazon Web Services

 

REGISTER NOW  SHARE INVITE BY EMAIL  SHARE INVITE BY LINKEDIN

CUSTOMER STORIES

Discover how our customers are using Snowflake to unlock the value of their data.

Snowflake Inc.
  • プラットフォーム
    • メディア&エンターテインメント
    • アーキテクチャ
    • 価格
    • Snowflakeデータマーケットプレイス
  • ソリューション
    • 医療・ライフサイエンスのためのSnowflake
    • 金融サービスのためのSnowflake
    • マーケティング分析のためのSnowflake
    • 小売業のためのSnowflake
    • 教育のためのSnowflake
  • リソース
    • リソースライブラリー
    • ウェビナー
    • 資料
    • コミュニティ
    • 法務
  • もっと知る
    • ニュース
    • ブログ
    • トレンド
  • 企業情報
    • Snowflakeについて
    • 経営陣と取締役会
    • パートナー
    • 求人
    • お問い合わせ

Sign up for Snowflake Communications

Thanks for signing up!

  • Privacy Notice
  • Site Terms
  • Cookie Settings

© 2024 Snowflake Inc. All Rights Reserved